Papers with Code 아카이브
Object
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 0
- 평가표
- 0
- 보존된 평가 기록
- 0
Replace the cat with a British Shorthair cat of the breed with bulging yellow eyes
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/Jiayuan-Gu/hab-mobile-manipulation
공식 코드https://github.com/JingZhang617/COD-Rank-Localize-and-Segment
공식 코드Towards Deeper Understanding of Camouflaged Object Detection
https://github.com/JingZhang617/Joint_COD_SOD
공식 코드Uncertainty-aware Joint Salient Object and Camouflaged Object Detection
https://github.com/JingZhang617/Scribble_Saliency
공식 코드Weakly-Supervised Salient Object Detection via Scribble Annotations
https://github.com/JingchunCheng/SegFlow
공식 코드SegFlow: Joint Learning for Video Object Segmentation and Optical Flow
https://github.com/JingwenWang95/DSP-SLAM
공식 코드https://github.com/Jinming-Su/TSOD
공식 코드Exploring Driving-aware Salient Object Detection via Knowledge Transfer
https://github.com/Jittor/JDet
공식 코드https://github.com/Johann-Huber/qd_grasp
공식 코드Toward a Plug-and-Play Vision-Based Grasping Module for Robotics
https://github.com/Johnathan-Xie/ZSD-YOLO
공식 코드Zero-shot Object Detection Through Vision-Language Embedding Alignment
https://github.com/JosephKJ/OWOD
공식 코드https://github.com/JosephKJ/iOD
공식 코드https://github.com/JoshuaFeinglass/TROPE
공식 코드https://github.com/JudasDie/SOTS
공식 코드https://github.com/Juliachang/SC-CAM
공식 코드Weakly-Supervised Semantic Segmentation via Sub-category Exploration
https://github.com/Jun-Pu/UCOS-DA
공식 코드Unsupervised Camouflaged Object Segmentation as Domain Adaptation
https://github.com/JunaidCS032/MOTBeyondPixels
공식 코드Beyond Pixels: Leveraging Geometry and Shape Cues for Online Multi-Object Tracking
https://github.com/Junjue-Wang/EarthVQA
공식 코드https://github.com/Jyxarthur/OCLR_model
공식 코드Segmenting Moving Objects via an Object-Centric Layered Representation
https://github.com/Jyxarthur/flowsam
공식 코드https://github.com/Karel911/TRACER
공식 코드TRACER: Extreme Attention Guided Salient Object Tracing Network
https://github.com/KarenUllrich/pytorch-backprojection
공식 코드Differentiable probabilistic models of scientific imaging with the Fourier slice theorem
https://github.com/KenYu910645/perspective-aware-convolution
공식 코드Perspective-aware Convolution for Monocular 3D Object Detection
https://github.com/KevinDuarte/CapsuleVOS
공식 코드CapsuleVOS: Semi-Supervised Video Object Segmentation Using Capsule Routing
https://github.com/KevinKecc/SRN
공식 코드SRN: Side-output Residual Network for Object Symmetry Detection in the Wild
https://github.com/KieDani/Towards_3D_Object_Localization
공식 코드Towards Learning Monocular 3D Object Localization From 2D Labels using the Physical Laws of Motion
https://github.com/KimSoybean/ScratchDet
공식 코드ScratchDet: Training Single-Shot Object Detectors from Scratch
https://github.com/KlabCMU/kin-poly
공식 코드Dynamics-Regulated Kinematic Policy for Egocentric Pose Estimation
https://github.com/KordingLab/object-based-attention
공식 코드https://github.com/KovenYu/uORF
공식 코드https://github.com/KupynOrest/instance_augmentation
공식 코드https://github.com/KyanChen/OvarNet
공식 코드OvarNet: Towards Open-vocabulary Object Attribute Recognition
https://github.com/LA30/Cas-Gnn
공식 코드Cascade Graph Neural Networks for RGB-D Salient Object Detection
https://github.com/LCSL/incremental_multiclass_RLSC
공식 코드Incremental Robot Learning of New Objects with Fixed Update Time
https://github.com/LIUYUANWEI98/NERTNet
공식 코드Learning Non-target Knowledge for Few-shot Semantic Segmentation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.